Tiku Dinah Ndi

Dinah Tiku Business Data Analyst Limbe, Cameroon | - |-| GitHub: https://github.com/Dinah614 Professional Summary Detail-oriented and analytical Data Analyst with over 3 years of hands-on experience in transforming raw data into actionable insights. Skilled in statistical analysis, data visualization, and dashboard development using Excel, SQL, Power BI, and Python. Proven ability to support data-driven decision-making and improve business processes. Passionate about continuous learning and delivering value through data. Experience Business Data Analyst (Volunteer) Nestlé Cameroon | April 2022 – July 2025 • • • • • Collected and transformed data from multiple sources (databases, spreadsheets) to support business reporting. Cleaned and validated datasets, ensuring data accuracy and integrity. Conducted exploratory data analysis (EDA) using Python and Power BI to identify key trends and patterns. Developed dashboards and visual reports that improved stakeholder understanding and decision-making. Collaborated with cross-functional teams to communicate insights and suggest data-driven improvements. Data Analyst Intern Data Girl Tech | October 2019 – January 2022 • • • • • Assisted in cleaning and transforming data using Excel and SQL for analytics projects. Built interactive dashboards in Power BI to visualize business performance metrics. Applied statistical models (e.g., regression, hypothesis testing) to analyze datasets and extract insights. Learned and implemented basic machine learning algorithms using Python (Pandas, Scikit-learn). Presented findings clearly to non-technical stakeholders through effective storytelling. Projects • • • Product Performance Analysis – Analyzed sales data to uncover top-selling products, seasonal trends, and underperforming items. (Tools: Excel, MySQL, Power BI) Healthcare Patient Insights – Analyzed patient demographics and medical conditions to support resource allocation and improve care. (Tools: Excel, SQL, Power BI) Workforce Analytics Dashboard – Developed an employee dashboard highlighting demographics, salaries, and tenure trends. (Tools: Excel, SQL, Python, Power BI) Education Bachelor of Science (BSc) – Finance University of Buea | 2015 – 2018 Key Areas: Risk Management, Financial Analysis, Corporate Finance Technical Skills • • • • • Data Analysis Tools: Excel (VLOOKUP, Pivot Tables), SQL (MySQL), Power BI Programming Languages: Python (Pandas, NumPy, Scikit-learn) Visualization Libraries: Matplotlib, Seaborn Statistical Methods: Regression, Hypothesis Testing, EDA Other Skills: Data Cleaning, Data Manipulation, Data Storytelling Languages • English: Native